method

transcriptomics

The study of all RNA transcripts in a cell or tissue at a given time.
4 related articles

Description

Transcriptomics is the branch of biology that measures which RNA molecules a cell or tissue is making at a particular moment, and in what amounts. A cell's DNA is essentially the same in every tissue, but the set of genes that are switched on differs enormously between, say, a liver cell and a neuron. Because RNA is the working copy made from active genes, cataloguing the RNA gives a direct readout of which genes are in use. Transcriptomics therefore answers questions that DNA sequencing alone cannot: not what a cell could do, but what it is actually doing right now. It is used to compare healthy and diseased tissue, to classify cancers by their molecular behaviour, to follow how cells respond to a drug or a change in environment, and to identify which genes drive a developmental process.

How it works

RNA is extracted from a sample, converted into stable complementary DNA, and then read out by high-throughput sequencing or by hybridisation to microarrays. Each sequencing read is matched back to the genome, and the number of reads landing on a given gene is taken as a measure of how strongly that gene was expressed. Modern single-cell versions isolate individual cells in tiny droplets before sequencing, so that the expression profile of every cell is recorded separately rather than averaged over the whole sample.

In practice

Used in cancer diagnostics and in pharmaceutical research to see which genes a drug turns up or down, and in single-cell studies to map the cell types of an organ.

Fun fact

The word 'transcriptome' was coined in 1997 by the molecular biologist Victor Velculescu and colleagues, deliberately modelled on 'genome'.

Related articles · 4

q-bio.GN2026-08-292 minarXiv:2608.90066
SALRR: a pipeline that reads the brain's genetic book from cover to cover
In a print shop, every page of a book used to be set by hand. One mistake, and the whole print run is at risk. RNA sequencing of the brain looked much the same until recently: each sample demanded hours of manual work, and short reads, like torn scraps of pages, could not be pieced together into the full text of a gene. Now there is a production line that reads every page from start to finish.
q-bio.GN2026-08-282 minarXiv:2608.90004
The Orchestra Grows Old: How Cells Lose the Beat
In an orchestra that has been playing the same symphony for years, the musicians gradually start to drift: each one plays on their own, yet the notes remain the same. That is roughly what happens to cells as they age. Scientists have come up with a way to measure this discord, that is, how faithfully each cell follows the shared program of gene expression.
q-bio.GN2026-08-253 minarXiv:2608.90070
Passengers in the blood: how silent mutations expose the clonal race
On a crowded train, some passengers ride in silence while others push toward the exit, shoving their neighbors aside. In every person's blood, mutant cells appear with age, and their fate is much the same: most changes are neutral, like passengers who are simply along for the ride, but some give a cell an edge, and it starts dividing faster than the rest.
q-bio.GN2026-08-242 minarXiv:2608.90013
Chronicles at the edges of chromosomes: how to read the history of every telomere
At the end of every chromosome sits a cap made of repeating DNA letters: the telomere. For a long time it was measured as an average length across all chromosomes, as if judging a library by the average thickness of its books. But in humans, three ends, 17p, 20q, and 12p, are consistently shorter than the rest, and they are the ones more often linked to genome damage.